Patient Data Protection in UK Hospitals: Challenges and Strategies
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Protecting Patient Data: Challenges and Strategies for UK Hospitals
Slide 1: Abstract
In the research project, there has been a clear declaration of the issues that hospitals must go through as data are protected properly by the hospital executives.
The respective primary qualitative is chosen in order to make the project more specific and knowledgeable.
In the study, there has been the depiction of research aims as well as SMART objectives in detail.
Slide 2: Introduction
The data that is present in healthcare are needed to be protected, which is counted to be a difficult task.
It is the duty of business associates and healthcare providers to provide privacy to patients.
Privacy is provided in different ways, such as delivering high-quality patient care and meeting strict regulatory requirements.
The rules and regulations that are used by hospital sectors in protecting the data of patients are the EU’s general data protection regulations.
In recent times, a huge amount of change occurred in healthcare, including the implementation of high technology for treatment purposes. Therefore facing security threats is a common issue, such as user error, the rise of hackers, and the adaptation of cloud technology. In certain cases, it has been seen that the hospitals have not updated their technologies resulting in using outdated ones, which become easier for hackers to steal the data easily.
The main aim of the project is to identify the issues faced by the healthcare sectors regarding data security.
Objectives
Specific: To identify the challenges related to data security by healthcare organizations in the UK
Measurable: To assess the necessary changes needed to be done to provide security to data of the healthcare sector within a short period
Achievable: To implement appropriate strategies to overcome the challenges of data security in hospitals in the UK.
Realistic: To achieve the organizational goals by solving the risks facade from data security
Time Bounded: To mitigate the issue of data security faced by healthcare corporations in the UK within 1 year.
The project mainly focuses on all the issues in protecting the data that are present in hospitals. In addition to this, the SMART objectives declare the way the challenge can be mitigated along with the time frame of it.
Slide 4: Methodology
Purpose: The main purpose of the project is to highlight the challenges in providing protection to hospitals’ data.
Learning Outcomes: One of the main learning outcomes of the research are data protection is an important aspect of all industries, including healthcare as well (Pandey et al., 2020).
Responsible Person: The people who are responsible for the development of the research are the researcher and the participants responsible for responding to the survey.
Project Type: The project is primary qualitative as the survey is performed for the project in order to gain information from the place of occurrence.
Future Scope: In future, the concerned project is expected to be beneficial for future researchers in order to gain knowledge and information on the importance of data security in hospitals.
The appropriate mitigation strategies are to be provided such that the hospital sectors are able to protect the personal information of patients and protect them from getting interrupted. The data are saved by hospitals for future use and for proper diagnosis, and thus, it is needed to be kept safe in digital devices such as desktops by hospital authorities. The data for the research purpose is to be collected from the participants by the researcher. The participants of the project are the healthcare providers such as doctors and nurses.
In the research project, there has been a declaration of different kinds of issues, such as cyber-attacks by cybercriminals (Meri et al. 2019).
The personal information of patients, such as bank details, was stolen by cyber attackers along with inserting malware into healthcare systems.
The level of vulgarities increased not only in EHRs (Electronic Health Records) yet in IoT (Internet of Things) as well (Kaur et al. 2018).
The main negative aspect of the research is due to lack of time and money, and it was not possible to cover all the factors due to which it was not possible to protect healthcare data.
As the time was short, the participants taken from the total population were limited in number as well a limited number of questions were asked.
It was not possible to make deep research on all the factors that caused issues in protecting healthcare data which is counted to be a drawback of the research. On the other hand, there are different positive aspects of research, among which the most important one is suitable mitigation strategies. The strategies have been declared in such a way that they can be implemented by any UK healthcare sector.
Slide 6: Contribution
One of the main contributions is through the entire research; I have gained knowledge regarding the necessity of starring data of patients.
I have understood the reason behind the need to provide protection to the information that is stored in electronic devices.
Through the concerned research, it has been possible to gain a huge amount of opportunities to improve my technological knowledge (Peiser et al. 2022).
After completion of the project, I have been well known and well aware of the way to complete the research ethically and appropriately.
During the ongoing research, I have taken interviews with the respondents who work in the hospital sector. Therefore, from this perspective, I have got to know about different unknown facts related to hospital data security. I have come across different issues while the research was going on, such as fixing the time of the interview, as they were busy with the novel tasks.
Slide 7: Conclusion
All the technical threats in data protection, such as the presence of malware and cyber attacks, have been declared in the project.
In addition to this, the project has been seen to be containing information on the ways to overcome the threats, such as upgrading systems.
The project has also been in charge of containing highlighting areas such as research methodology, considerations along with results.
Slide 8: References
Kaur, P., Sharma, M. and Mittal, M., 2018. Big data and machine learning based secure healthcare framework. Procedia computer science, 132, pp.1049-1059. https://www.sciencedirect.com/science/article/pii/S187705091830752X/pdf?md5=c9398593062bd8d8d17dd0caf795fea7&pid=1-s2.0-S187705091830752X-main.pdf
Meri, A., Hasan, M.K., Danaee, M., Jaber, M., Safei, N., Dauwed, M., Abd, S.K. and Al-bsheish, M., 2019. Modelling the utilization of cloud health information systems in the Iraqi public healthcare sector. Telematics and Informatics, 36, pp.132-146. https://doi.org/10.1016/j.tele.2018.12.001
Pandey, A.K., Khan, A.I., Abushark, Y.B., Alam, M.M., Agrawal, A., Kumar, R. and Khan, R.A., 2020. Key issues in healthcare data integrity: Analysis and recommendations. IEEE Access, 8, pp.40612-40628. https://ieeexplore.ieee.org/iel7/6287639/8948470/09016269.pdf
Peiser, G., Pratt, A. and Putwain, D., 2022. Student teachers' views about the university's research contribution to professional knowledge development. Teaching and Teacher Education, 112, p.103647. https://doi.org/10.1016/j.tate.2022.103647
